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Simple and Fast SEC-Based Protocol to Isolate Human Plasma-Derived Extracellular Vesicles for Transcriptional Research.
Gaspar, Laetitia S; Santana, Magda M; Henriques, Carina; Pinto, Maria M; Ribeiro-Rodrigues, Teresa M; Girão, Henrique; Nobre, Rui Jorge; Pereira de Almeida, Luís.
Afiliación
  • Gaspar LS; Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
  • Santana MM; Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
  • Henriques C; Institute for Interdisciplinary Research (IIIUC), University of Coimbra, 3030-789 Coimbra, Portugal.
  • Pinto MM; Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
  • Ribeiro-Rodrigues TM; Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
  • Girão H; Center for Neuroscience and Cell Biology (CNC), University of Coimbra, 3004-504 Coimbra, Portugal.
  • Nobre RJ; Center for Innovation in Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal.
  • Pereira de Almeida L; ViraVector, University of Coimbra, 3004-504 Coimbra, Portugal.
Mol Ther Methods Clin Dev ; 18: 723-737, 2020 Sep 11.
Article en En | MEDLINE | ID: mdl-32913880
Extracellular vesicles (EVs) are membranous structures that protect RNAs from damage when circulating in complex biological fluids, such as plasma. RNAs are extremely specific to health and disease, being powerful tools for diagnosis, treatment response monitoring, and development of new therapeutic strategies for several diseases. In this context, EVs are potential sources of disease biomarkers and promising delivery vehicles. However, standardized and reproducible EV isolation protocols easy to implement in clinical practice are missing. Here, a size exclusion chromatography-based protocol for EV-isolation from human plasma was optimized. We propose a workflow to isolate EVs for transcriptional research that allows concomitant analysis of particle number and size, total protein, and quantification of a major plasma contaminant. This protocol yields 7.54 × 109 ± 1.22 × 108 particles, quantified by nanoparticle tracking analysis, with a mean size of 115.7 ± 11.12 nm and a mode size of 83.13 ± 4.72 nm, in a ratio of 1.19 × 1010 ± 7.38 × 109 particles/µg of protein, determined by Micro Bicinchoninic Acid (BCA) Protein Assay, and 3.09 ± 0.7 ng RNA, assessed by fluorescence-based RNA-quantitation, from only 900 µL of plasma. The protocol is fast and easy to implement and has potential for application in biomarkers research, therapeutic strategies development, and clinical practice.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Mol Ther Methods Clin Dev Año: 2020 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Mol Ther Methods Clin Dev Año: 2020 Tipo del documento: Article País de afiliación: Portugal